# Lakebase Sales Specialist **Company**: Databricks **Location**: Paris, France **Work arrangement**: onsite **Experience**: senior **Job type**: full-time **Salary**: Competitive salary and bonus **Category**: Sales **Industry**: Technology **Wikidata**: https://www.wikidata.org/wiki/Q18350420 **Apply**: https://job-boards.greenhouse.io/databricks/jobs/8569552002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_13d3f250-d86 ## Description We are seeking a Lakebase Sales Specialist to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity. ### The impact you will have - Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team. - Lead with outcomes for key Lakebase personas , including platform teams and developers, data teams, and central IT , articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency. - Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences. - Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders. - Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists. - Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references. - Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape. - Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs. - Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization. ### What success looks like in this role This role requires the ability to operate across two key motions simultaneously: - Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase. - Drive longer-term Postgres standardization and migration within Databricks' most strategic accounts. Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business. Success in this role requires strength in four areas: - Business ownership – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support. - Strategic account engagement – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes. - Field, account, & customer enablement: Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention. - Market voice and thought leadership – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events. The interview process is designed to evaluate candidates across all four of these dimensions. ### What we look for - Proven enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals. - Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders. - Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies. - Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners). - Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities. - Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers. - Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes. - Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences. - Bachelor’s degree or equivalent practical experience. ### Preferred qualifications - Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts. - Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies. - Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications. - Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services. - Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives. - Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions. ## Skills ### Required - Postgres - operational databases - data platforms - lakehouse architectures - cloud ecosystems - reverse ETL - real-time decisioning - operational analytics - AI-native applications - agent-driven applications ### Nice to have - OLTP workloads - transactional cloud database services --- Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8569552002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)